Resonance has always been a serious source of noise, mechanical wear and dynamic instability, particularly in large complex drivetrains that need to go through unpredictable duty cycles. Many modeling techniques have been developed over the years to help engineers to identify the net resonances of their systems so that appropriate steps may be taken to attenuate them without adding inefficiencies into the design.

This webinar will introduce the use of advanced symbolic and numeric techniques to identify the vibrational behaviour of drivetrain models that have been developed in MapleSim and analyzed in Maple.

Presenters:

Dr. Sam Dao, Application Engineer, Maplesoft
Dr. Dao received his PhD degree in Mechatronics from the Dept. of Mechanical and Mechatronics Engineering at the University of Waterloo. He is currently an Application Engineer at Maplesoft. Originally part of Dr. John McPhee's research team, Dr. Dao has been involved in many research projects including multiple robot networking, hybrid electric vehicle modeling, and battery modeling.

Dr. Derek Wright, MapleSim Product Manager, Maplesoft
Dr. Wright received a Ph.D. degree in the collaborative electrical and biomedical engineering program at the University of Toronto, Canada. His research has focused on the physics of medical imaging, and he has also worked in the areas of robotics, control, analog and digital VLSI and board-level circuit design, and CCD cameras. Derek is a sessional instructor in the ECE department at the University of Waterloo in the area of circuits.

In engineering research, detail is vital. Researchers must not only develop models quickly, but they also require in-depth analytical tools to help them understand on a fundamental level the intricacies of their models. Fortunately, tools like MapleSim and Maple, from Maplesoft, are available to researchers to aid in their model development and analysis. With MapleSim, researchers can quickly develop their models and can gain insight into their systems' behaviours. Researchers at many academic institutions have adopted MapleSim, advanced physical modeling software from Maplesoft, as a key tool in their engineering research activities. This article illustrates how engineering researchers are making significant strides in their work with the help of Maplesoft technology. It highlights the work of six researchers from around the world, and discusses such diverse projects as space rovers, humanoid robots, parallel manipulators, golf clubs, and electric and hybrid-electric vehicle batteries. To read the full story, please click here.

Maplesoft™ recently announced the MapleSim™ Connector for dSPACE Systems, an engineering software product that provides streamlined solutions for rapid control prototyping with MapleSim real-time simulation.

The connector automatically converts high-fidelity MapleSim models into high-performance, real-time applications running on the dSPACE DS1104 R&D Controller Board. Since this solution does not require the MathWorks® toolchain, system modeling, control design, and real-time implementation can be done in a single environment at a fraction of the cost.

Engineers can ensure fast execution without loss of model fidelity by taking advantage of efficient model formulation and optimized code generation in MapleSim. MapleSim is a physical modeling and simulation tool built on a foundation of symbolic computation technology. It efficiently handles all of the complex mathematics involved in the development of engineering models, including multi-domain systems, plant modeling, and control design. With MapleSim, engineers develop high-fidelity, high performance models in a fraction of the time it would take with other tools. In addition to the dSPACE DS1104 R&D Controller Board, MapleSim models can also be exported directly to Simulink®, LabVIEW™, and NI VeriStand™ for real-time implementation in hardware-in-the-loop systems, as well as, to stand-alone applications for fast simulations.

“The launch of the MapleSim Connector for dSPACE Systems represents a major milestone in the development of our engineering tools,” says Paul Goossens, Vice-President of Application Engineering at Maplesoft. “Maplesoft customers will benefit from this solution immediately through the time and cost savings that come with using this product, and will see even more benefits as we further strengthen the connection between these powerful technologies.”

Attend the live webinars for an opportunity to hear Dr.Lopez live! To watch recorded versions of each webinar in the series, click here.

This unique Webinar series
presents practical concepts and techniques for developing high-fidelity
physical models for complex dynamic systems. Whether your goal is to
increase the performance of plant models for HIL simulations, or you
need to get greater insight into system behaviour, the contents of
these sessions will provide useful tips and case studies to make
MapleSim projects more productive. If you are a design and
research engineer in automotive, aerospace, robotics, and precision
machinery segments, or an engineering educator, you would benefit from
attending this webinar series.

Engineers are using Maple and MapleSim extensively for modeling complex kinematic and dynamic behavior in vehicle chassis systems, such as suspensions, steering and brakes. These products are used to combine multibody mechanisms with compliant components, such as bushings, to determine the overall dynamic behavior of the vehicle, particularly for stability control design. In this webinar, Paul Goossens, VP of Applications Engineering at Maplesoft, will present practical concepts and techniques for developing high-fidelity physical models for complex dynamic systems in automotive applications.

If you are a design and research engineer in the automotive industry you would benefit from attending this webinar.

The center of a fixed-radius circle inscribed in a parabola is found. This is generalized to members of the family y = x2 n, where n is an integer greater than 1. For what values of the radius are there only circles tangent at the origin? How many circles can be inscribed in one of these curves?

In this study, magnetic field numerical modelling of Permanent Magnet Synchronous Motor with Maple is explored. The finite element method is well known and always implemented with FORTRAN, C and Matlab.

In the application the user-friendly tool for generating monthly julian calendars has been presented. After entering a year and a number of month, the text file containing the desired monthly calendar has been generated.

“The primary advantage in using Maple and MapleSim is that it enables engineers to more quickly and precisely build and test models of complex designs. Doing the required math is so easy with these solutions that engineers can look at multiple design approaches and models, and still be assured that they aren’t over-engineering.”

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